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WSEAS Transactions on Environment and Development


Print ISSN: 1790-5079
E-ISSN: 2224-3496

Volume 14, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 14, 2018



Condition Monitoring of Subsea Sensors. A Systems of Systems Engineering Approach

AUTHORS: Edmary Altamiranda, Eliezer Colina

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ABSTRACT: Deeper waters, remote locations and the current market reality has led to higher complexity of subsea production and processing systems oriented to increase oil recovery, reduce capital expenditures (CAPEX) and operational expenditures (OPEX), provide operational flexibility and health, safety and environment (HSE) benefits. This fact demands development of digital applications to support condition monitoring, supervision, integrated diagnosis and efficient control and operation of subsea facilities. Digital applications are highly dependent on reliable instrumentation and associated data, which might be impaired by measurements uncertainties related to sensor failures, degradation in time or unavailability. This paper explores the use of a “systems of systems engineering” approach and model based fault detection methods to develop a framework to support condition monitoring of subsea sensors to be used on digital applications.

KEYWORDS: Condition Monitoring, Fault Detection, Subsea Sensors, Systems of Systems, Underwater Technology, Digital Applications.

REFERENCES:

[1] E. Altamiranda, and E. Colina “Systems of Systems Engineering Approach for Intelligent Control and Supervision of Subsea Production Systems”, In Proc. IEEE Ocean’s 2013, June 2013.

[2] T. Nanayakkara, F. Sahin and M. Jamshidi, “Intelligent Control Systems with an Introduction to System of Systems Engineering”, CRC Press, Taylor & Francis Group, 2010.

[3] E. Altamiranda, and E. Colina, “Intelligent supervision and integrated fault detection and diagnosis for subsea control systems”, in Proc IEEE Ocean’s 2007, June 2007

[4] N.K. Malakar, D.Gladkov, and K. H. Knuth, “Modeling a Sensor to Improve its Efficacy”, Journal of Sensors, Vol. 2013 (2013), Article ID 481054,11pages,http://dx.doi.org/10.1155/2 013/481054.

[5] S. Zug, A Dietrich and J. Kaiser, “An Architecture for a Dependable Distributed Sensor System”, In IEEE Transactions on Instrumentation and Measurements, Vol. 60, Issue 2, February 2011.

[6] S. Zug, A Dietrich and J. Kaiser, “Fault Handling in Networked Sensor Systems”, In book Fault Diagnosis in Robotic and Industrial Systems, Edition: 1, Chapter: 2, Publisher: iConcept Press, Editors: Gerasimos G. Rigatos, pp.20-40, November 2011.

[7] S. Blank, T. Pfister and K. Berns, “Sensor Failure Detection Capabilities in Low-Level Fusion: A Comparison between Fuzzy Voting and Kalman Filtering”, In Proc. IEEE International Conference on Robotics and Automation, Shanghai, China, May 9-13, 2011.

[8] N. Helwig, E. Pignanelli, A. Schütze, “Detecting and Compensating Sensor Faults in Hydraulic Condition Monitoring Systems”, In Proc. SENSOR 2015, AMA Conferences, May 19-21, 2015.

[9] B. Mounika, G. Raghu, Surabhi Sreelekha et. al. “Neural Network based Data Validation Algorithm for Pressure Processes“, In Proc. IEEE International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 10- 11 July 2014

[10] N. Solomakhina, T. Hubauert, S. Lamparte, et. al.”Extending Statistical Data Quality Improvements”, In Proc. 12th IEEE International Conference on Industrial Informatics (INDIN), 27-30 July 2014.

[11] J. Abrahamsen, S. Bentsen, “Performance and Condition Monitoring of Subsea Production Systems”, Marine, Construction & Engineering Deepwater Development (MCE DD) Conference, Madrid 2014.

[12] R. Isserman and M. Ulieru, “Integrated Fault Detection and Diagnosis”, In Proc IEEE Systems, Man and Cybernetic; Systems Engineering in the Service of Humans International Conference, pp.743-748, Vol.1, October, 1993.

[13] R. Isermann, “Fault diagnosis of machines via parameter estimation and knowledge processing”, Automatica, Vol. 29, No.4, 1993, pp. 815-835.

[14] R. Isermann, “Model-based fault-detection and diagnosis – status and applications, Annual Reviews in Control 29 (2005), pp. 71–85

[15] E. Altamiranda, H. Torres, E. Colina and E. Chacón, “Supervisory control design based on hybrid systems and fuzzy events detection”, ISA Transaction”, October, 2002, pp. 485-489.

WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 14, 2018, Art. #53, pp. 495-500


Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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